R: Quantifying and Monetizing Health Impacts Attributable to Exposure

# Quantifying and Monetizing Health Impacts Attributable to Exposure

## Documentation for package ‘healthiar’ version 0.2.4

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

attribute_health | Attribute health impacts to an environmental stressor
attribute_lifetable | Attribute premature deaths or YLL to an environmental stressor using a life table approach
attribute_mod | Create a scenario 2 by modifying an existing scenario 1 and determine attributable health impacts in it
cba | Cost-benefit analysis
compare | Compare the attributable health impacts between two scenarios
daly | Attributable disability-adjusted life years
discount | Discount health impacts
get_discount_factor | Get discount factor
get_inflation_factor | Get inflation factor
get_paf | Get population attributable fraction
get_pif | Get potential impact fraction (PIF)
get_risk | Get the relative risk of an exposure level
monetize | Monetize health impacts
multiexpose | Aggregate health impacts from multiple exposures
prepare_exposure | Prepare exposure data
prepare_lifetable | Convert multi-year life table to single year life table
prepare_mdi | Create the BEST-COST Multidimensional Deprivation Index (MDI)
socialize | Consider socio-economic aspects in the attributable health impacts
standardize | Obtain age-standardized health impacts
summarize_uncertainty | Get Monte Carlo confidence intervals